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rrobot: Robust Outlier Detection for Diverse Distributions
Provides robust outlier detection techniques for identifying
anomalies in multivariate data, with a focus on methods that remain
effective under non-Gaussian distributions. For more details see
Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>.
| Version: |
0.1.3 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
MASS, stats, cellWise, expm, robustbase, gamlss, imputeTS, isotree, ggplot2, tidyr, reshape2, rlang |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-03-09 |
| DOI: |
10.32614/CRAN.package.rrobot (may not be active yet) |
| Author: |
Amanda Mejia [aut, cre],
Damon Pham  [ctb],
Saranjeet Singh Saluja [ctb],
Fatma Parlak [ctb],
Zeshawn Zahid [ctb] |
| Maintainer: |
Amanda Mejia <mandy.mejia at gmail.com> |
| BugReports: |
https://github.com/mandymejia/rrobot/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/mandymejia/rrobot |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
rrobot results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rrobot
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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